siglasso_internal: Internal function for sigLASSO

In gersteinlab/siglasso: Optimizing Cancer Mutation Signatures Jointly with Sampling Likelihood

Internal function for sigLASSO

Description

Internal function that assigns weights of signatures to a given sample

Usage

siglasso_internal(
  spectrum,
  sig,
  prior,
  adaptive,
  elastic_net,
  gamma,
  alpha_min,
  iter_max,
  sd_multiplier,
  conf
)

Arguments

spectrum	The mutation spectrum of the target sample
sig	The signature matrix
prior	The weights of penalties given as prior
adaptive	Should it do adpative LASSO?
elastic_net	Should it do elastic net?
gamma	Hyperparameter for adpative LASSO
alpha_min	The minimum alpha
iter_max	The maximum number of iterations
sd_multiplier	The tolerance of SEs in lambda searching
conf	A confidence factor for linear fitting

gersteinlab/siglasso documentation built on Sept. 5, 2022, 8:45 p.m.